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Senior Data Engineer SQL, Kafka, APIs Gdynia
Build and maintain ETL pipelines, SQL Server databases, and Kafka-based streaming integrations to enable cross-application data sharing.
Data Engineer - Junior/Mid/Senior - ICH Europe
Build and optimize scalable data pipelines and AI solutions using cloud platforms, ETL tools, and SQL for enterprise clients across Europe.
Semantic Data Engineer — Hybrid, Impactful App Support
Builds and maintains semantic data models and business glossaries using RDF/SPARQL, automates features for internal users, and supports Kubernetes-based tooling.
Data Engineering & Analysis Bootcamp: SQL & Python
A 2-month remote bootcamp teaching SQL and Python for data analysis, including practical tasks and feedback for students with IT backgrounds.
Senior Data Engineer: Rating & Limit Modeling
Designs and builds backend systems for financial data modeling and rating/limit calculations, ensuring high software quality and data integrity.
Senior Data Engineer (M/F/D)
Senior Data Engineer builds scalable Lakehouse architectures and ETL/ELT pipelines using Databricks, Spark, and cloud services to turn logistics data into BI insights and support analytics across Azure, AWS, or GCP.
Senior Data Engineer - Rating & Limit Modelling
Senior Data Engineer builds AI-driven data pipelines and backend systems for Nordea’s rating and limit modelling, focusing on scalable, maintainable solutions.
Snowflake Data Engineer: Transform & Orchestrate Analytics
Senior data engineer builds and optimizes Snowflake pipelines to transform raw data into scalable analytics for risk modeling in a Nordic bank.
Junior Data Engineer: Azure Data Factory & Fabric (Remote)
Build and maintain data pipelines using Microsoft Fabric and Azure Data Factory, integrating data from multiple sources for analytics and reporting.
Data Engineer Intern: Build Data Models & Cloud Skills
Build and refine data models using SQL, Python, Spark, and Azure while learning cloud technologies and predictive modeling in a hands-on internship.
Cloud Data Engineer: Spark, ETL & Data Lake Expert
Build and maintain scalable cloud data pipelines and ETL/ELT workflows using Spark and data lakes, collaborating with Data Science and BI teams in a mentorship-driven environment.
Senior AI/Data Engineer (Snowflake, GenAI)
Build and operate Snowflake-based data platforms that power GenAI and advanced AI use cases at enterprise scale, integrating vector search, RAG, and agent workflows.
Expert Data Engineer with GCP @ GFT Poland
Design and build scalable data pipelines and ETL processes on Google Cloud Platform using Python, Apache Airflow, Spark, and BigQuery to support analytics and decision-making.
(Junior or Mid) Data Engineer with Snowflake
Build and optimize Snowflake-based data pipelines, model data, and automate workflows to deliver reliable, secure data for analytics and reporting.
Data Engineer z GCP (f/m/x)
Build and maintain scalable GCP-based data pipelines, optimize BigQuery warehouses, and orchestrate workflows with Airflow/Terraform for analytics teams.
Senior Data Engineer (LLM) @ Vecten
Build and maintain data platforms, ETL pipelines, and Gen-AI integrations for a Forbes 500 finance client using Python, Snowflake, AWS, and vector databases.
Senior Data Engineer (Azure Data Factory) @ Addepto
Design and maintain Azure Data Factory pipelines, orchestrating ETL/ELT workflows and optimizing warehouse layers (Azure SQL/Synapse) for enterprise clients.
Business Intelligence and Data Engineering Manager
Manage Azure data pipelines, ETL processes, and Power BI reporting to deliver analytics for healthcare distribution teams, ensuring data quality and governance.
Business Intelligence and Data Engineering Manager
Lead a team managing Azure-based data pipelines, ETL processes, and Power BI reporting for BD’s Distribution Excellence, ensuring data quality and actionable insights for healthcare supply chains.
Senior Data Engineer — Cloud & On-Prem Data Platforms
Designs and builds scalable data platforms across cloud and on-premise environments, optimizing pipelines and modeling data for stakeholders.